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@ -1,38 +1,53 @@ |
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import unittest |
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import unittest |
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import inspect |
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import utils.tdata_tool as t |
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import utils.tdata_tool as t |
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import basic.constants as B |
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import basic.constants as B |
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import utils.data_const as D |
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import utils.data_const as D |
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import test.testtools |
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import test.constants |
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import basic.program |
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import basic.program |
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import os |
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import os |
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class MyTestCase(unittest.TestCase): |
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HOME_PATH = test.constants.HOME_PATH |
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DATA_PATH = test.constants.DATA_PATH |
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OS_SYSTEM = test.constants.OS_SYSTEM |
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# here you can select single testfunction for developping the tests |
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TEST_FUNCTIONS = ["test_tdata", "test_getCsvSpec_data", "test_getCsvSpec_tree", "test_getCsvSpec_key", |
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"test_getCsvSpec_conf", "test_extractPattern"] |
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#TEST_FUNCTIONS = ["test_getCsvSpec_key"] |
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def runTest(self): |
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class MyTestCase(unittest.TestCase): |
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self.test_tdata() |
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mymsg = "--------------------------------------------------------------" |
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def xtest_tdata(self): |
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def test_tdata(self): |
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job = basic.program.Job("unit") |
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global mymsg |
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args = {"application": "TEST", "application": "ENV01", "modus": "unit", "loglevel": "debug", |
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actfunction = str(inspect.currentframe().f_code.co_name) |
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"tool": "job_tool", "tdtyp": "csv", "tdsrc": "implement", "tdname": "firstunit", |
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cnttest = 0 |
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"modus": "unit"} |
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if actfunction not in TEST_FUNCTIONS: |
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job.par.setParameterArgs(args) |
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return |
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job = test.testtools.getJob() |
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setattr(job.par, "tdtyp", "dir") |
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setattr(job.par, "tdsrc", "TC0001") |
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setattr(job.par, "tdname", "testspec") |
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filename = str(job.conf.confs["paths"]["testdata"]) + "/" + getattr(job.par, "tdsrc") + "/" + getattr(job.par, "tdname") + ".csv" |
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filename = str(job.conf.confs["paths"]["testdata"]) + "/" + getattr(job.par, "tdsrc") + "/" + getattr(job.par, "tdname") + ".csv" |
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tdata = t.readCsv(job.m, filename, None) |
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#tdata = t.readCsv(job.m, filename, None) |
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self.assertEqual(len(tdata["testa1"]), 3) |
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#self.assertEqual(len(tdata["testa1"]), 3) |
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setattr(job.par, "tdtyp", "dir") |
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setattr(job.par, "tdtyp", "dir") |
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setattr(job.par, "tdsrc", "TST001") |
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setattr(job.par, "tdsrc", "TST001") |
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tdata = t.getTestdata() |
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#tdata = t.getTestdata() |
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self.assertEqual(("steps" in tdata), True) |
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#self.assertEqual(("steps" in tdata), True) |
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MyTestCase.mymsg += "\n----- "+actfunction+" : "+str(cnttest) |
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def test_getCsvSpec_data(self): |
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def test_getCsvSpec_data(self): |
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job = basic.program.Job("unit") |
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global mymsg |
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tdata = {} |
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actfunction = str(inspect.currentframe().f_code.co_name) |
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args = {"application": "TEST", "application": "ENV01", "modus": "unit", "loglevel": "debug", |
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cnttest = 0 |
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"tdtyp": "csv", "tdsrc": "TC0001", "tdname": "testspec", |
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if actfunction not in TEST_FUNCTIONS: |
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"modus": "unit"} |
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return |
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job.par.setParameterArgs(args) |
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job = test.testtools.getJob() |
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filename = os.path.join(job.conf.confs["paths"]["testdata"], getattr(job.par, "tdsrc"), getattr(job.par, "tdname") + ".csv") |
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# filename = os.path.join(job.conf.confs["paths"]["testdata"], getattr(job.par, "tdsrc"), getattr(job.par, "tdname") + ".csv") |
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""" |
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""" |
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a) data : like a table with data-array of key-value-pairs |
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a) data : like a table with data-array of key-value-pairs |
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a_0 is keyword [option, step, CSV_HEADER_START ] |
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a_0 is keyword [option, step, CSV_HEADER_START ] |
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@ -47,6 +62,7 @@ class MyTestCase(unittest.TestCase): |
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] |
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] |
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tdata = t.parseCsvSpec(job.m, specLines, D.CSV_SPECTYPE_DATA) |
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tdata = t.parseCsvSpec(job.m, specLines, D.CSV_SPECTYPE_DATA) |
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self.assertEqual(0, len(tdata)) |
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self.assertEqual(0, len(tdata)) |
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cnttest += 1 |
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if "malformated" in tests: |
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if "malformated" in tests: |
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malformat = "option;arg;;;;;" |
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malformat = "option;arg;;;;;" |
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specLines = [ |
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specLines = [ |
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@ -56,6 +72,7 @@ class MyTestCase(unittest.TestCase): |
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"#;;;;;;" |
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"#;;;;;;" |
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] |
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] |
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self.assertRaises(Exception, t.parseCsvSpec, (job.m, specLines, D.CSV_SPECTYPE_DATA)) |
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self.assertRaises(Exception, t.parseCsvSpec, (job.m, specLines, D.CSV_SPECTYPE_DATA)) |
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cnttest += 1 |
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malformat = "step;component;1;arg:val;;;;;" |
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malformat = "step;component;1;arg:val;;;;;" |
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specLines = [ |
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specLines = [ |
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"step:1;component;1;arg:val;;;", |
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"step:1;component;1;arg:val;;;", |
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@ -69,6 +86,7 @@ class MyTestCase(unittest.TestCase): |
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malformat |
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malformat |
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] |
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] |
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self.assertRaises(Exception, t.parseCsvSpec, (job.m, specLines, D.CSV_SPECTYPE_DATA)) |
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self.assertRaises(Exception, t.parseCsvSpec, (job.m, specLines, D.CSV_SPECTYPE_DATA)) |
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cnttest += 1 |
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specLines = [ |
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specLines = [ |
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"option:par;arg;;;;;", |
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"option:par;arg;;;;;", |
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"#option:nopar;arg;;;;;", |
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"#option:nopar;arg;;;;;", |
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@ -83,6 +101,7 @@ class MyTestCase(unittest.TestCase): |
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self.assertEqual(1, len(tdata)) |
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self.assertEqual(1, len(tdata)) |
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print(tdata) |
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print(tdata) |
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self.assertIn(D.CSV_BLOCK_OPTION, tdata) |
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self.assertIn(D.CSV_BLOCK_OPTION, tdata) |
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cnttest += 2 |
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if D.CSV_BLOCK_STEP in tests: |
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if D.CSV_BLOCK_STEP in tests: |
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specLines = [ |
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specLines = [ |
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"step:1;testa;1;table:_lofts,action:import;;;;;", |
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"step:1;testa;1;table:_lofts,action:import;;;;;", |
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@ -93,11 +112,13 @@ class MyTestCase(unittest.TestCase): |
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self.assertEqual(1, len(tdata)) |
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self.assertEqual(1, len(tdata)) |
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self.assertIn(B.DATA_NODE_STEPS, tdata) |
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self.assertIn(B.DATA_NODE_STEPS, tdata) |
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self.assertIsInstance(tdata[B.DATA_NODE_STEPS], list) |
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self.assertIsInstance(tdata[B.DATA_NODE_STEPS], list) |
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cnttest += 3 |
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for step in tdata[B.DATA_NODE_STEPS]: |
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for step in tdata[B.DATA_NODE_STEPS]: |
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print(step) |
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print(step) |
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self.assertIn(B.DATA_NODE_COMP, step) |
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self.assertIn(B.DATA_NODE_COMP, step) |
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self.assertIn(B.ATTR_DATA_REF, step) |
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self.assertIn(B.ATTR_DATA_REF, step) |
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self.assertIn(B.ATTR_STEP_ARGS, step) |
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self.assertIn(B.ATTR_STEP_ARGS, step) |
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cnttest += 3 |
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if B.DATA_NODE_TABLES in tests: |
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if B.DATA_NODE_TABLES in tests: |
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specLines = [ |
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specLines = [ |
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"table:testa:lofts;_nr;street;city;zip;state;beds;baths;sqft;type;price;latitude;longitude", |
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"table:testa:lofts;_nr;street;city;zip;state;beds;baths;sqft;type;price;latitude;longitude", |
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@ -109,48 +130,101 @@ class MyTestCase(unittest.TestCase): |
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self.assertEqual(1, len(tdata)) |
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self.assertEqual(1, len(tdata)) |
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self.assertIn(B.DATA_NODE_TABLES, tdata) |
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self.assertIn(B.DATA_NODE_TABLES, tdata) |
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self.assertIsInstance(tdata[B.DATA_NODE_TABLES], dict) |
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self.assertIsInstance(tdata[B.DATA_NODE_TABLES], dict) |
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cnttest += 3 |
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for k in tdata[B.DATA_NODE_TABLES]["testa"]: |
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for k in tdata[B.DATA_NODE_TABLES]["testa"]: |
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table = tdata[B.DATA_NODE_TABLES]["testa"][k] |
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table = tdata[B.DATA_NODE_TABLES]["testa"][k] |
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self.assertIn(B.DATA_NODE_HEADER, table) |
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self.assertIn(B.DATA_NODE_HEADER, table) |
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self.assertIn(B.DATA_NODE_DATA, table) |
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self.assertIn(B.DATA_NODE_DATA, table) |
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cnttest += 2 |
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MyTestCase.mymsg += "\n----- "+actfunction+" : "+str(cnttest) |
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def xtest_getCsvSpec_tree(self): |
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def test_getCsvSpec_tree(self): |
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job = basic.program.Job("unit") |
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global mymsg |
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tdata = {} |
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actfunction = str(inspect.currentframe().f_code.co_name) |
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args = {"application": "TEST", "application": "ENV01", "modus": "unit", "loglevel": "debug", |
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cnttest = 0 |
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"tdtyp": "csv", "tdsrc": "TC0001", "tdname": "testspec", |
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if actfunction not in TEST_FUNCTIONS: |
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"modus": "unit"} |
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return |
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job.par.setParameterArgs(args) |
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job = test.testtools.getJob() |
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"""" |
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"""" |
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b) tree : as a tree - the rows must be unique identified by the first column |
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b) tree : as a tree - the rows must be unique identified by the first column |
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a_0 is keyword in CSV_HEADER_START |
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a_0 is keyword in CSV_HEADER_START |
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a_0 : { .. a_n : { _header : [ fields.. ], _data : { field : value } |
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a_0 : { .. a_n : { _header : [ fields.. ], _data : { field : value } |
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""" |
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""" |
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MyTestCase.mymsg += "\n----- "+actfunction+" : "+str(cnttest) |
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def xtest_getCsvSpec_key(self): |
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def test_getCsvSpec_key(self): |
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job = basic.program.Job("unit") |
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global mymsg |
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tdata = {} |
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actfunction = str(inspect.currentframe().f_code.co_name) |
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args = {"application": "TEST", "application": "ENV01", "modus": "unit", "loglevel": "debug", |
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cnttest = 0 |
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"tdtyp": "csv", "tdsrc": "TC0001", "tdname": "testspec", |
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if actfunction not in TEST_FUNCTIONS: |
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"modus": "unit"} |
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return |
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job.par.setParameterArgs(args) |
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job = test.testtools.getJob() |
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"""" |
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"""" |
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c) keys : as a tree - the rows must be unique identified by the first column |
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c) keys : as a tree - the rows must be unique identified by the first column |
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a_0 is keyword in CSV_HEADER_START |
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a_0 is keyword in CSV_HEADER_START |
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a_1 ... a_n is key characterized by header-field like _fk* or _pk* |
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a_1 ... a_n is key characterized by header-field like _fk* or _pk* |
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a_0 : { .. a_n : { _keys : [ _fpk*.. ] , _header : [ fields.. ], _data : { pk_0 : { ... pk_n : { field : value } |
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a_0 : { .. a_n : { _keys : [ _fpk*.. ] , _header : [ fields.. ], _data : { pk_0 : { ... pk_n : { field : value } |
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""" |
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""" |
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tests = ["malformated", "comments", B.DATA_NODE_TABLES] |
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if "comments" in tests: |
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specLines = [ |
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";;;;;;", |
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"#;;;;;;" |
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] |
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tdata = t.parseCsvSpec(job.m, specLines, D.CSV_SPECTYPE_KEYS) |
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self.assertEqual(0, len(tdata)) |
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cnttest += 1 |
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if "malformated" in tests: |
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malformat = "table;key;;;;;" |
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specLines = [ |
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malformat, |
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"#;;;;;;" |
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] |
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self.assertRaises(Exception, t.parseCsvSpec, (job.m, specLines, D.CSV_SPECTYPE_KEYS)) |
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cnttest += 1 |
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if B.DATA_NODE_TABLES in tests: |
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specLines = [ |
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"table:capital;key;val;;;;", |
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";athens;;;;;", |
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";berlin;;;;;", |
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";cairo;;;;;" |
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] |
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tdata = t.parseCsvSpec(job.m, specLines, D.CSV_SPECTYPE_KEYS) |
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print(str(tdata)) |
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self.assertEqual(1, len(tdata)) |
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self.assertEqual(1, len(tdata["_tables"])) |
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self.assertEqual(2, len(tdata["_tables"]["capital"])) |
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self.assertEqual(3, len(tdata["_tables"]["capital"]["_keys"])) |
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cnttest += 4 |
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specLines = [ |
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"table:capital;key;val;;;;", |
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";athens;;;;;", |
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";berlin;;;;;", |
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"table:country;key;val;;;;", |
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";greece;;;;;", |
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";germany;;;;;" |
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] |
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tdata = t.parseCsvSpec(job.m, specLines, D.CSV_SPECTYPE_KEYS) |
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#tdata = t.parseCsvSpec(job.m, specLines, D.CSV_SPECTYPE_TREE) |
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print(str(tdata)) |
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self.assertEqual(1, len(tdata)) |
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self.assertNotIn("capital", tdata["_tables"]) |
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self.assertEqual(1, len(tdata["_tables"])) |
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self.assertEqual(2, len(tdata["_tables"]["country"])) |
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self.assertEqual(2, len(tdata["_tables"]["country"]["_keys"])) |
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cnttest += 4 |
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MyTestCase.mymsg += "\n----- "+actfunction+" : "+str(cnttest) |
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def xtest_getCsvSpec_conf(self): |
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def test_getCsvSpec_conf(self): |
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job = basic.program.Job("unit") |
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global mymsg |
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tdata = {} |
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actfunction = str(inspect.currentframe().f_code.co_name) |
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args = {"application": "TEST", "application": "ENV01", "modus": "unit", "loglevel": "debug", |
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cnttest = 0 |
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"tdtyp": "csv", "tdsrc": "TC0001", "tdname": "testspec", |
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if actfunction not in TEST_FUNCTIONS: |
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"modus": "unit"} |
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return |
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job.par.setParameterArgs(args) |
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job = test.testtools.getJob() |
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"""" |
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"""" |
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d) conf: |
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d) conf: |
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_header : [ field_0, ... ] |
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_header : [ field_0, ... ] |
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@ -167,10 +241,16 @@ class MyTestCase(unittest.TestCase): |
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self.assertEqual(1, len(tdata)) |
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self.assertEqual(1, len(tdata)) |
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self.assertNotIn(B.DATA_NODE_TABLES, tdata) |
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self.assertNotIn(B.DATA_NODE_TABLES, tdata) |
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self.assertIn("lofts", tdata) |
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self.assertIn("lofts", tdata) |
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cnttest += 3 |
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table = tdata["lofts"] |
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table = tdata["lofts"] |
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self.assertIn(B.DATA_NODE_HEADER, table) |
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self.assertIn(B.DATA_NODE_HEADER, table) |
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self.assertIn(B.DATA_NODE_DATA, table) |
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self.assertNotIn(B.DATA_NODE_DATA, table) |
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cnttest += 2 |
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MyTestCase.mymsg += "\n----- "+actfunction+" : "+str(cnttest) |
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def test_zzz(self): |
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print(MyTestCase.mymsg) |
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if __name__ == '__main__': |
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if __name__ == '__main__': |
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unittest.main() |
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unittest.main() |
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